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ScarletMcLearn/README.md

Hi, I'm Syed Shams Elahi πŸ‘‹

Senior QA Automation Engineer Β· SQA Lead Β· Applied Data Scientist

Email β€’ LinkedIn β€’ GitHub β€’ Kaggle β€’ QA Portfolio β€’ Data Science Portfolio

Profile views


πŸ‘¨β€πŸ’Ό Snapshot

  • πŸ”­ Senior QA Automation Engineer / SQA Lead with 9+ years of experience across Bangladesh, UAE, Canada, and the US.
  • πŸ§ͺ Architect of enterprise-grade test automation frameworks that reduced testing time by up to 80% and improved team efficiency by 30%+.
  • πŸ“ˆ Applied Data Scientist with hands-on work in ML, DL, NLP & recommender systems, building models that reach 99% accuracy and boosting engagement by 40%.
  • 🀝 Trusted by teams in fintech, e-commerce, healthcare, SaaS to bring structure, quality, and speed to delivery.
  • 🧭 Comfortable owning end-to-end quality: test strategy, framework design, CI/CD, performance, observability, and coaching junior engineers.

πŸš€ What I Do

πŸ§ͺ QA Automation & Quality Engineering

  • Design modular, scalable automation frameworks for web, API, and microservices.
  • Lead teams through test strategy, risk-based planning, and regression optimization.
  • Embed automation into CI/CD pipelines (GitHub Actions, Jenkins, Docker, cloud).
  • Drive performance & load testing for high-traffic applications (JMeter, Locust, Artillery).
  • Collaborate closely with dev, product, and DevOps to make quality a shared responsibility.

πŸ€– Applied Data Science & ML for Real Products

  • Build classification, regression, clustering & recommendation models with strong business impact (churn, fraud, medical, customer behavior).
  • Use deep learning & NLP (BERT, CNNs, Transformers) for text and image problems.
  • Deploy models with MLOps best practices (Docker, APIs, monitoring, experimentation).
  • Apply data science thinking to testing, observability, and analytics.

🧱 Tech Stack (What I Actually Use)

πŸ’» Languages

πŸ§ͺ Test Automation & QA

  • Test frameworks: Pytest, TestNG, JUnit, Behave/Cucumber (BDD), Cypress test runner
  • Test domains: Web, API, microservices, performance, BDD, contract testing

πŸ€– Data Science, ML & AI

  • Areas: classification, regression, clustering, recommendation, NLP, CNNs, LLMs & RAG
  • Tooling: Pandas, NumPy, XGBoost, LightGBM, MLflow, Spark, BigQuery, Power BI, Tableau

☁️ DevOps, CI/CD & Cloud

  • CI/CD: GitHub Actions Β· Jenkins Β· Bitbucket Pipelines
  • Infra: Dockerized test suites Β· cloud-based cross-browser grids (LambdaTest, BrowserStack)

πŸ† Selected Highlights

  • πŸ’‘ Enterprise QA Automation Frameworks
    Designed and led implementation of modular, CI-ready frameworks that power regression, smoke, integration, and performance tests across multiple products.
  • ⚑ Massive Productivity Gains
    Automation initiatives cut manual regression by 80%, improved execution speed, and reduced release risk.
  • πŸ“Š High-Accuracy ML Solutions
    Delivered ML models (classification, recommendation, NLP) reaching up to 99% accuracy in healthcare, finance, and e-commerce use cases.
  • 🌍 Global, Cross-Functional Experience
    Worked with distributed teams in Bangladesh, UAE, Canada, US, aligning QA, dev, data, and product toward measurable outcomes.
  • 🀝 Mentor & Lead
    Lead SQA / SQA Automation Engineer, mentoring engineers, standardizing practices, and introducing modern tooling and frameworks.

🌟 Featured Work

πŸ”§ QA Automation & Testing

  • Playwright Web & API Automation
    Enterprise-level POM framework, cross-browser coverage, and hybrid UI + API tests to validate microservices end-to-end.

  • Cypress UI & Component Testing
    Front-end automation for modern web apps with network stubbing, component tests, and integration with test management tools.

  • Selenium & REST Assured Hybrid Framework
    Data-driven, parallelized test suite covering UI + API flows with detailed HTML reports and CI integration.

  • Performance & Load Testing
    JMeter / Locust / Artillery suites simulating thousands of concurrent users, integrated into pipelines as quality gates.

πŸ”— Check more details in my QA portfolio: https://shorturl.at/LtSgS

πŸ“Š Data Science & Machine Learning

A large public portfolio of notebooks and projects covering:

  • Medical, financial & customer analytics (churn, fraud, risk, survival analysis)
  • Recommender systems (movies, books, products, restaurants, music)
  • NLP tasks (sentiment analysis, fake news, topic modeling, text classification)
  • Computer vision (brain tumor detection, skin disease, image quality classification)
  • LLMs & fine-tuning (LLaMA / HF models, RAG, prompt engineering)

πŸ”— Data Science portfolio (notebooks):
https://github.com/ScarletMcLearn/DataScience/tree/master/Public


πŸ“Š Activity (Last 12 Months)

Activity graph


πŸ’Ό For Recruiters & Hiring Managers

If you’re looking for someone who can:

  • Own QA strategy & automation for complex products
  • Build frameworks, not just scripts
  • Collaborate with engineering, product, and data teams
  • Bring data science, ML, and LLMs into your quality & analytics stack

…then we should talk.


πŸ“« Let’s Connect

Pinned Loading

  1. Cypress-Cucumber-Boilerplate Cypress-Cucumber-Boilerplate Public

    HTML

  2. Selenium-Behave-Boilerplate Selenium-Behave-Boilerplate Public

    HTML

  3. BikrawlerDotPy BikrawlerDotPy Public

    An Application program interface (API) for the largest e-marketplace in Bangladesh. Bikroy.com

    Jupyter Notebook

  4. QA-Automation QA-Automation Public

    Gherkin

  5. UsefulTools UsefulTools Public

  6. UselessToys UselessToys Public

    Just some Toy Projects

    C 1